Arin Chaudhuri

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arin Chaudhuri trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhou Zhou
  2. Xiaoming Huo
  3. Arthur Gretton
  4. Cheng Huang
  5. Runze Li
  6. G'abor J. Sz'ekely
  7. Niklas Pfister
  8. Bernhard Schölkopf
  9. Alex Smola
  10. Olivier Bousquet

Papers from Arin Chaudhuri's perspective

Ordered by how strongly the researchers Arin Chaudhuri trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Measuring Statistical Dependence with Hilbert-Schmidt Norms
  2. ImageNet classification with deep convolutional neural networks
  3. Measuring and testing dependence by correlation of distances
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. GENERATIVE ADVERSARIAL NETS
  8. Gradient-based learning applied to document recognition
  9. Equivalence of distance-based and RKHS-based statistics in hypothesis testing
  10. Long Short-Term Memory

Their papers